• DocumentCode
    1668299
  • Title

    Fault-Tolerant Dual Power Management in Wireless Sensor Networks

  • Author

    Wang, Chen ; Park, Myung-Ah ; Willson, James ; Farago, Andras ; Du, Ding-Zhu

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    How to adjust the transmission power at each node to achieve global energy efficiency while maintaining the network connectivity, referred as power management problem, is the major target of various topology control technologies. Moreover, fault tolerance which is often modeled as 2-edge or 2-vertex connectivity is another desired feature in many applications. In this paper, we study the fault tolerant dual power assignment problem. With the assumption of dual universal transmission power levels, we aim to minimize the total number of nodes assigned to high power level such that the resultant network topology is 2-edge or 2-vertex connected. As the problems are NP-hard, we design a novel algorithm to compute nearly-optimal solutions. From the theoretical perspective, we prove that our algorithm can guarantee 3.67-approximation for both 2-edge connectivity and 2-vertex connectivity, which improves the existing best approximation algorithm. We also conduct some numerical experiments which show that results of our algorithm are at most 2 times of optimal solutions in average and have significant improvements compared to that of existing algorithm.
  • Keywords
    approximation theory; communication complexity; fault tolerance; telecommunication network topology; wireless sensor networks; 2-edge connectivity; 2-vertex connectivity; NP-hard problem; approximation algorithm; fault tolerant dual power assignment; fault-tolerant dual power management; network connectivity; network topology; power transmission; wireless sensor network; Approximation algorithms; Attenuation; Computer science; Costs; Energy management; Fault tolerance; Network topology; Radio propagation; Technology management; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.91
  • Filename
    4697866